{"id":8835,"date":"2024-09-30T19:41:39","date_gmt":"2024-09-30T18:41:39","guid":{"rendered":"https:\/\/icertpublication.com\/?page_id=8835"},"modified":"2024-10-02T17:50:32","modified_gmt":"2024-10-02T16:50:32","slug":"unleashing-the-potential-of-artificial-intelligence-ai-tools-in-phytogeographical-studies","status":"publish","type":"page","link":"https:\/\/icertpublication.com\/index.php\/shodh-sari-2\/sodh-sari-vol-3-issue-4\/unleashing-the-potential-of-artificial-intelligence-ai-tools-in-phytogeographical-studies\/","title":{"rendered":"Unleashing the Potential of Artificial Intelligence (AI) Tools in Phytogeographical studies"},"content":{"rendered":"\t\t
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Unleashing the Potential of Artificial Intelligence (AI) Tools in Phytogeographical studies<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Chauhan, Nisha<\/span>1<\/span><\/span>\u00a0<\/span><\/p>

1<\/span><\/span>Assistant Professor, Department of Geography, S D (P G) College Muzaffarnagar, U.P.<\/span>
<\/span><\/p>

Kumar, Manoj<\/span>2<\/span><\/span>\u00a0<\/span><\/p>

2<\/span><\/span>Lecturer in Biology, Govt. I. College, Kunda, U.S. Nagar, U.K., Ex coordinator in UOU, Haldwani, Nainital, Uttarakhand<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Abstract\n<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Phytogeography, the study of the geographic distribution of plants, is important for understanding ecosystem dynamics, biodiversity, and ecological processes. Over the past few years, advances in technology, especially artificial intelligence (AI), have revolutionized various scientific fields, including ecology and environmental science. In recent years, AI techniques have been increasingly applied in phytogeography, providing new opportunities to increase our understanding of plant distribution patterns and improve conservation efforts. The study of the role of artificial intelligence in phytogeography focuses on how AI techniques such as machine learning, remote sensing, and spatial analysis are being used to analyse large-scale plant distribution data. By leveraging AI, researchers can gain valuable insights from vast and complex datasets, identify patterns and predict future changes in plant distributions with greater accuracy. Furthermore, AI-driven approaches have the potential to address important challenges in phytogeography, such as species distribution modelling, habitat mapping, and biodiversity conservation. By integrating AI with traditional ecological methods, more effective strategies can be developed to manage and conserve plant species and their habitats. AI-driven phytogeography research, provides an overview of recent progress, discusses potential applications of AI techniques in ecological studies, and the opportunities and challenges associated with the use of AI in understanding and conserving plant biodiversity. Ultimately, the integration of AI with phytogeography has the potential to revolutionize our understanding of plant distributions and inform more sustainable conservation practices in the face of global environmental change.<\/span><\/p>

Keywords<\/span>: Phytogeography, Ecosystem Dynamics, Remote Sensing, Modelling, Revolutionizing, Machine learning.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Impact Statement\n<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The impact of using Artificial Intelligence (AI) tools in phytogeographical studies, which focus on the distribution of plant species and their relationships to geographical, environmental, and climatic factors, is significant. The introduction of AI has brought several advances and innovations, transforming how researchers approach the subject. There are some potential impacts of AI in various field of phytogeographical studies i.e. Data Analysis and Modelling, Biodiversity Conservation, Handling Big Data in Phytogeography, AI for Climate Change and Habitat Mapping, AI for Climate Change, Habitat Mapping, Automation and Efficiency. AI tools have the potential to revolutionize phytogeographical studies by improving the accuracy, efficiency, and scope of research. By integrating AI for data analysis, predictive modelling, and species identification, researchers can better understand plant distribution patterns and respond to environmental challenges such as climate change and habitat loss. However, ongoing challenges related to data quality, computational resources<\/span>, and model interpretability must be addressed to fully unleash the potential of AI in this field.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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About The Author<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Dr Nisha Chauhan is working as Assistant Professor in Geography at S D College Muzaffarnagar UP. She has completed her secondary education from UP Board of secondary education and higher education including Ph.D.in geography from M.J.P. Rohilkhand University Bareilly. She has 10 years teaching and research experience to teach U.G and P.G. classes. She has published 7 Research Paper and a chapter in research book.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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References<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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1.<\/span> Elith, J., and Leathwick, J.R. (2009). Species distribution models: ecological explanation and prediction in space and time. Annual Review of Ecology, Evolution and Systematics, 40, 677\u2013697.<\/span><\/p>

2. Franklin, J. (2010). Mapping and spatial estimation and prediction of species distribution. Cambridge University Press.<\/span><\/p>

3. He, K., Zhang, X., Ren, S., and Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 770\u2013778).<\/span><\/p>

4. Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G., and Jarvis, A. (2005). Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25(15), 1965\u20131978.<\/span><\/p>

5. Phillips, S.J., Anderson, R.P., and Shapire, R.E. (2006). Maximum entropy modeling of the geographic distribution of species. Ecological Modeling, 190(3-4), 231-259.<\/span><\/p>

5. Phillips, S.J., Anderson, R.P., and Shapire, R.E. (2006). Maximum entropy modeling of the geographic distribution of species. Ecological Modeling, 190(3-4), 231-259.<\/span><\/p>

6. Potapov, P., Turubanova, S., Hansen, M.C., Addussi, B., Broich, M., Altstadt, A., … and Justice, C.O. (2012). Quantifying forest cover loss in the Democratic Republic of the Congo, 2000\u20132010, with Landsat ETM data. Remote Sensing of the Environment, 122, 106-116.<\/span><\/p>

7. Ren, J., Zhang, H., and Ruan, S. (2020). A review of species distribution modeling and its applications in bioinformatics. Current Bioinformatics, 15(4), 309-320.<\/span><\/p>

8. Schroeter, M., Diaz, S., Setele, J., and Bellmaker, J. (2019). Mapping the global distribution of local plant diversity: past progress and future perspectives. Proceedings of the Royal Society B, 286(1910), 20182732.<\/span><\/p>

9. Swets, J.A. (1988). Measuring the accuracy of diagnostic systems. Science, 240(4857), 1285-1293.<\/span><\/p>

10. Thissen, A.E., and Patterson, D.J. (2011). Data issues in life sciences. Jukies, 150, 15-51.<\/span><\/p>

11. Veloz, S.D., Williams, J.W., Blois, J.L., He, F., Otto-Bliesner, B., and Liu, Z. (2012). No-analog climate and implications for 21st-century predictions of realized changes during the late Quaternary by species distribution models. Global Change Biology, 18(5), 1698\u20131713.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Unleashing the Potential of Artificial Intelligence (AI) Tools in Phytogeographical studies Chauhan, Nisha1\u00a0 1Assistant Professor, Department of Geography, S D (P G) College Muzaffarnagar, U.P. Kumar, Manoj2\u00a0 2Lecturer in Biology, Govt. I. College, Kunda, U.S. Nagar, U.K., Ex coordinator in UOU, Haldwani, Nainital, Uttarakhand Abstract Phytogeography, the study of the geographic distribution of plants, is […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":8763,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-8835","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/pages\/8835","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/comments?post=8835"}],"version-history":[{"count":16,"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/pages\/8835\/revisions"}],"predecessor-version":[{"id":9055,"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/pages\/8835\/revisions\/9055"}],"up":[{"embeddable":true,"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/pages\/8763"}],"wp:attachment":[{"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/media?parent=8835"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}